Blog
Deep dives on Bayesian inference, probabilistic programming, optimization, and the practical side of shipping ML in production.
Bayesian priors and Ridge regression
Showing the equivalence of Bayesian priors and Ridge regression
Dr. Michael GreenChoose your optimization algorithm carefully
How does the choice of optimization result impact how long time it takes to find the correct solution
Dr. Michael GreenConfidence intervals - Not what you think
Confidence intervals actually says nothing at all about the probability of the value being in the interval
Dr. Michael GreenDangerous Flaws in Computer Vision
Dangerous flaws in computer vision and how to fix them using proper uncertainty estimation
Johan GudmundssonDeep Evidential Modeling
Deep Evidential Modeling for safe, robust and accurate machine learning applications
Dr. Michael GreenIdentifiability and granularity for time series models
Is it better to aggregate sparse data or does the granularity add value
Dr. Michael GreenImpact of bimodality in regression problems
A few thoughts on apparent bimodality for regression problems!
Dr. Michael GreenLaunching the ComNav
Why we are launching ComNav, a holistic business measurement & optimization platform
Dr. Michael GreenQuali-Drone. Intelligent, autonomous drone inspection of large structures within the energy industry
The project develops a drone inspection solution and digital documentation that recognize and categorize surface errors and measure parts of industrial structures with high precision.
Johan GudmundssonBorch: A Deep Universal Probabilistic Programming Language
Borch: a scalable deep universal probabilistic programming language, built on top of PyTorch.
Johan GudmundssonRIMA grant win together with Robotize3d
Desupervised and Robotiz3d recently won an award from Horizon Europe’s RIMA (Robotics Inspection and Maintenance Activities) initiative
Johan GudmundssonRobotiz3d: Autonomous Road Maintenance
Autonomous robots with artificial intelligence identifying and repairing cracks and potholes.
Johan GudmundssonSafe AI in medical imaging
Why proper uncertainty estimation is a need to have in medical Imaging
Johan GudmundssonThe apparent success of the maximum likelihood principle
The maximum likelihood principle is modeling without assumptions, and there is no such thing. The assumption of no assumption is a flawed assumption.
Dr. Michael GreenThe importance of context
The importance of context when building models
Dr. Michael GreenThe insignificance of significance
Statistical significance has always held a slightly magical status in the research community, this is misguided ans should be stopped
Dr. Michael GreenThe truth about priors and overfiting
Learn about the effect of week and strong priors and how it effects overfitting
Dr. Michael GreenTop 3 reasons why you should consider an external AI team
Artificial intelligence (AI) has rapidly become one of the most transformative technologies of the 21st century. Learn why you should consider an external AI team to accelerate your adaptation
Dr. Michael GreenWhat does the prior actually do in a Bayesian analysis?
How the prior and posterior effects the likelihood in Bayesian inference, and why setting the correct priors are important.
Dr. Michael GreenOn the long term effects of marketing and brand models
Understand the how marketing impact brand awareness
Dr. Michael GreenHolistic Business Modeling Supersedes Business Science Models
Maximizing Growth and Profitability: How Holistic Business Modeling and Optimization Can Transform Your Business
Dr. Michael GreenInclude domain knowledge in the structure of Business Science Models
How to combine high-level and low-level domain knowledge for Business Science Models
Johan GudmundssonLearn how to model business dynamics correctly
How to boost business insights and business Intelligence with Artificial intelligence using models that actually understand the dynamics of the business.
Johan GudmundssonNPS: On the importance of customer experience for insurance companies
Customer experience refers to the overall perception of a customer’s interactions with a company. It includes elements such as the ease of use of a company’s products or services, the quality of customer service, and the overall feeling of satisfaction a customer has with the company.
Dr. Michael GreenOn the fallacy of A/B testing
A/B testing is a commonly used method for determining the effectiveness of different variations of a product or marketing campaign. However, despite its widespread use, A/B testing has several limitations that make it a flawed methodology, particularly when compared to bespoke machine learning models.
Dr. Michael GreenThe ROI of Investing in Customer Experience - A Compressive Guide for Business Leaders
Looking to invest in customer experience initiatives but unsure of the ROI? Our comprehensive guide provides practical insights and tips to help you measure the impact
Johan GudmundssonWhat is Net Promoter Score(NPS)?
Learn what Net Promoter Score(NPS) is and how it can be used
Johan GudmundssonWhat is the Voice of the Customer(VOC)?
The term "Voice of the Customer" (VoC) refers to feedback from customers that provides insight into their expectations and actual experiences.
Johan GudmundssonTop 3 reasons why the ROI on your CX investments is hard to measure and prove
or CX investments, whose primary output is typically measured in Net Promoter Score (NPS) this presents a challenge to measure the ROI
Dr. Michael GreenDrug Discovery using Equivariant Graph Neural Networks
Equivariant Graph Neural Networks that predict protein binding sites blindly, plus ligand pose and orientation, benchmarked against Qvina-W in early AIChemy work.
Dr. Michael GreenDesupervised & RG Discovery Receive Eurostars Grant
Desupervised and RG Discovery have partnered to develop AI-powered drug discovery tools, supported by a Eurostars R&D grant.
Dr. Michael GreenReady for the next step?
Tell us the decision you need to make with confidence. We'll tell you honestly whether a model can help.